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Displaying 501 - 525 of 804

Overview of the Multiple Biometrics Grand Challenge

July 23, 2009
Author(s)
P J. Phillips, Patrick J. Flynn, J. R. Beveridge, Kevin W. Bowyer, W T. Scruggs, Alice O'Toole, David Bolme, Bruce A. Draper, Geof H. Givens, Yui M. Lui, Hassan A. Sahibzada, Joseph A. Scallan, Samuel Weimer
The goal of the Multiple Biometrics Grand Challenge (MBGC) is to improve the performance of face and iris recognition technology from biometric samples acquired under unconstrained conditions. The MBGC is organized into three challenge problems. Each

Minutia Interoperability

June 15, 2009
Author(s)
Elham Tabassi
Many large scale identity management applications require storage and exchange of standardized minutiae templates. Minutia templates offer a more space efficient, less resource intensive, and more cost effective alternative to raw images. Recent minutiae

An Automated Video-Based System For Iris Recognition

June 2, 2009
Author(s)
Yooyoung Lee, P. Jonathon Phillips, Ross J. Micheals
We have successfully implemented a Video-based Automated System for Iris Recognition (VASIR), evaluating its successful performance on the MBGC dataset. The proposed method facilitates the ultimate goal of automatically detecting an eye area, extracting

Making the Case for EAP Channel Bindings

March 30, 2009
Author(s)
T. C. Clancy, Katrin Hoeper
In current networks that use EAP and AAA for authenticated admission control, such as WiFi, WiMAX, and various 3G internetworking protocols, a malicious base station can advertise false information to prospective users in an effort to manipulate network

Common Biometric Exchange Formats Framework Standardization

February 13, 2009
Author(s)
Fernando L. Podio, Fred Herr
Common Biometric Exchange Formats Framework (CBEFF) provides a standardized set of definitions and procedures that support the interchange of biometric data in standard data structures called CBEFF biometric information records (BIRs). CBEFF permits

Face Recognition by Computers and Humans

February 10, 2009
Author(s)
P J. Phillips, Rama Chellappa, Pawan Sinha
In most situations, identifying humans using faces is an effortless task for humans. Is this true for computers? This very question defines the field of automatic face recognition, one of the most active research areas in computer vision, pattern

Slap Fingerprint Segmentation Evaluation II - Procedures and Results

January 12, 2009
Author(s)
Craig I. Watson
In 2004, NIST conducted a fingerprint slap segmentation study [1] to assess the state-of-the-art in fingerprint segmentation technology. Given the development of new technology it has become necessary to reassess the current state-of-the-art of

BiCCL: The Biometric Client Configuration Language

October 1, 2008
Author(s)
Matthew L. Aronoff, Ross J. Micheals
In this paper, we introduce the Biometric Client Configuration Language, or BiCCL. BiCCL is a platform-independent, domain-specific language (DSL) that formally describes the biometric acquisition process. BiCCL uses high-level constructs---e.g., sensors

Assessing Face Acquisition

September 15, 2008
Author(s)
Mary F. Theofanos, Brian C. Stanton, Charles L. Sheppard, Ross J. Micheals, John M. Libert, Shahram Orandi
The requirements necessary for taking a successful face picture are arguably the least constrained of any biometric. The camera must be operational, and the subject must be illuminated sufficiently and facing the camera. Yet, a significant portion of the
Displaying 501 - 525 of 804